// Copyright (C) 2019. Huawei Technologies Co., Ltd. All rights reserved.

// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), 
// to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, 
// and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE 
// WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR 
// COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


#ifndef _SCALE_H
#define _SCALE_H

#include <iostream>
#include "weight_operator.hpp"
#include "tensor_computing.h"
#include "tensor_desc.h"
#include "op_type.h"

class Scale: public WeightOperator
{
public:
    Scale(DataType dt, int axis, int numChannels, int numSource)
    {
        this->dt = dt;
        this->axis = axis;
        this->numSource = numSource;
        this->numChannels = numChannels;
        this->dataID = 0;
    }

    OperatorType get_op_type() override
    {
        return OT_Scale;
    }
 
    bool can_input_output_the_same() override
    {
        return true;
    }

    virtual EE init_weight_bias_from_model(U8** modelPtr) = 0;

protected:
    int axis;
    U32 numChannels;
    int numSource;  // How many source tensors compose this input
    int dataID;
};

#endif //_SCALE_H
